Data Science | Analytics




Software, Programming Languages & Development: Python (Pandas, Numpy, Matplotlib, Seaborn, Scikit-Learn) , SQL, Microsoft Excel, Javascript, Git, SVN, Agile Methodologies
Data Collection: JSON, APIs, web-scraping
Machine Learning: Classification, Regression, Clustering, Feature Engineering, Deep Learning
Data Visualization: Matplotlib, Seaborn, Tableau,


Bot or Not? Bot Classification on Reddit | Nov. 2020
A classifier that predicts whether a given comment was made by a bot or human reader.
Github.  Project website.

Selected Experience

Kaleidotone | San Francisco, CA
Designer/Founder | June 2010-Present

  • Sound design for 20+ leading theatre companies, in the Bay area and beyond, including San Jose Stage, American Conservatory Theatre, SF Playhouse, Aurora Theatre, and New Conservatory Theatre Center.
  • Produced music for 100+ TV shows and commercials, airing on CBS, Fox, NBC, CTV, MTV, VH1, TLC, and internationally, yielding 50M impressions.

Mursion | San Francisco, CA       
Quality Assurance Analyst  |   2015-2018

  • Reporting to the Chief Technical Officer, coordinated with creative and technical teams to produce virtual reality simulations for education and training.
  • Led Quality Assurance on a successful large-scale pilot project (The National Observational Teaching exam) with Educational Testing Service (ETS).
  • Developed policies, procedures and best practices for releasing software products internally and to our clients. Coordinated multiple software development projects with offshore teams in India.


Queen Mary, University of London | Master of Business Administration, 2021
Springboard | Data Science Certification. November 2020.
University of Regina | BFA, Film Production (Distinction). BA, Film Studies (Distinction). 2007

Data Science | Analytics

About me

I’m a data scientist that combines strong design and storytelling skills with rigorous analytical training to provide actionable insights about data.